Soft computing methods for WiMax Network Planning on 3D Geographical Information Systems
作者：
Highlights：
• We concentrated on WiMax Network Planning on 3D Geographical Information Systems.
• A generalized mathematical model including 3D path loss calculation was proposed.
• Soft computing methods including parallel Random Forest, BTP and PSO were designed.
• Experimental validation was performed on the real datasets of Bolzano–Bozen, Italy.
• The proposed hybrid achieved better performance than some planning algorithms.
摘要
•We concentrated on WiMax Network Planning on 3D Geographical Information Systems.•A generalized mathematical model including 3D path loss calculation was proposed.•Soft computing methods including parallel Random Forest, BTP and PSO were designed.•Experimental validation was performed on the real datasets of Bolzano–Bozen, Italy.•The proposed hybrid achieved better performance than some planning algorithms.
论文关键词：3D GIS,Particle Swarm Optimization,Parallel Random Forest,Soft computing,WiMax Network Planning
论文评审过程：Received 8 October 2015, Revised 6 May 2016, Accepted 20 June 2016, Available online 15 July 2016, Version of Record 15 September 2016.
论文官网地址：https://doi.org/10.1016/j.jcss.2016.06.009
